What you’ll learn
- Six modules progress from LLM/prompt basics and structured data extraction to email drafts and meeting summaries
- Custom GPTs, Gemini Gems and Claude Projects
- Knowledge-base agents for documents
- Multi-step custom operational agents for weekly reports, project status, candidate screening and code review
- And privacy/security.
- Named tools include ChatGPT, Claude, Gemini and their custom-agent concepts
- Page examples include a content-calendar agent, FAQ/onboarding assistants, document/knowledge agents and weekly-report drafting.
What does the learning look like?
- Four assignments and two ungraded labs are listed.
- Named ungraded labs build a prompt for data analysis and a ChatGPT knowledge-base agent
- Videos demonstrate email/meeting workflows and custom agents.
- A candidate-screening and a code-review assistant are also listed.
Example to try
Connect a repeated task
- 01Start with
A message, form or new file
- 02Make a first pass
A useful record in the next app
- 03Make it yours
Review the result before saving or sending
Use a fictional example to practise the workflow.
Cost, access and setup
What you’ll need
- ChatGPT, Gemini and Claude custom-agent products.
How you’ll learn
- The six displayed module estimates total about 5h29 (29m plus five modules at 1h).
- Self-paced Coursera course
- Component of the AI Agents & Automation Specialization.
- Access requires course enrollment
Certificate
- Shareable Coursera specialization/course completion certificate listed
Help along the way
- Four listed assignments and two ungraded labs
Instructor
- SkillsBooster Academy is the listed publisher/provider
- Anton Voroniuk is the named instructor.
- Listing claims 108 courses and 83,693 learners
Course cost
Check the course page for current pricing.